Services for Organizations

Using our research, best practices and expertise, we help you understand how to optimize your business processes using applications, information and technology. We provide advisory, education, and assessment services to rapidly identify and prioritize areas for improvement and perform vendor selection

Consulting & Strategy Sessions

Ventana On Demand

    Services for Investment Firms

    We provide guidance using our market research and expertise to significantly improve your marketing, sales and product efforts. We offer a portfolio of advisory, research, thought leadership and digital education services to help optimize market strategy, planning and execution.

    Consulting & Strategy Sessions

    Ventana On Demand

      Services for Technology Vendors

      We provide guidance using our market research and expertise to significantly improve your marketing, sales and product efforts. We offer a portfolio of advisory, research, thought leadership and digital education services to help optimize market strategy, planning and execution.

      Analyst Relations

      Demand Generation

      Product Marketing

      Market Coverage

      Request a Briefing


        Research Perspective

        To keep reading or download the pdf

        Fill out the Form

         

        Read Time:

        7 min.

         

        Sponsored by:

        Alteryx_logo

         

        Font Size:

         

        Font Weight:

        Automating Analytics Processes

        The Missing Element in the Modern Data Stack

        Automating Analytics in the Data Stack

        In recent years, the data stack has evolved to be more scalable, flexible and responsive. But there is a disconnect between available technology and organizations realizing the benefits. Our research shows the most common complaint organizations report about analytics and business intelligence technology is that it is not flexible or adaptable to change. The ever-growing volume of data and sources, cloud options and governance requirements necessitates an organization automate their data stack to achieve a scalable, flexible and responsive data stack by increasing agility, maximizing efficiency and connecting IT and line-of-business users.

        Modern data stacks are inherently large. Data-driven organizations are increasingly treating the steps involved in extracting, integrating, aggregating, preparing, transforming and analyzing data as a continual process. Doing so requires an ecosystem of technologies that all function together. In our Analytics and Data Benchmark Research, organizations, on average, report working with more than five different technologies in their data and analytics stack. In addition, they are evaluating an additional seven technologies for use in the next 12 to 24 months. A stack containing this many disparate technologies must be automated to operate as a cohesive system.

         
         

        Fill out the form to continue reading